Pokle, Ashwini

11 publications

ICLR 2025 Consistency Models Made Easy Zhengyang Geng, Ashwini Pokle, Weijian Luo, Justin Lin, J Zico Kolter

TMLR 2024 Training-Free Linear Image Inverses via Flows Ashwini Pokle, Matthew J. Muckley, Ricky T. Q. Chen, Brian Karrer

NeurIPS 2023 Deep Equilibrium Based Neural Operators for Steady-State PDEs Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary Lipton, Jianfeng Lu, Andrej Risteski

ICMLW 2023 Deep Equilibrium Based Neural Operators for Steady-State PDEs Tanya Marwah, Ashwini Pokle, J Zico Kolter, Zachary Chase Lipton, Jianfeng Lu, Andrej Risteski

ICMLW 2023 Differentially Private Generation of High Fidelity Samples from Diffusion Models Vikash Sehwag, Ashwinee Panda, Ashwini Pokle, Xinyu Tang, Saeed Mahloujifar, Mung Chiang, J Zico Kolter, Prateek Mittal

NeurIPS 2023 One-Step Diffusion Distillation via Deep Equilibrium Models Zhengyang Geng, Ashwini Pokle, J. Zico Kolter

ICMLW 2023 One-Step Diffusion Distillation via Deep Equilibrium Models Zhengyang Geng, Ashwini Pokle, J Zico Kolter

AISTATS 2022 Contrasting the Landscape of Contrastive and Non-Contrastive Learning Ashwini Pokle, Jinjin Tian, Yuchen Li, Andrej Risteski

NeurIPS 2022 Deep Equilibrium Approaches to Diffusion Models Ashwini Pokle, Zhengyang Geng, J. Zico Kolter

NeurIPS 2022 Path Independent Equilibrium Models Can Better Exploit Test-Time Computation Cem Anil, Ashwini Pokle, Kaiqu Liang, Johannes Treutlein, Yuhuai Wu, Shaojie Bai, J. Zico Kolter, Roger B Grosse

CoRL 2021 Visually-Grounded Library of Behaviors for Manipulating Diverse Objects Across Diverse Configurations and Views Jingyun Yang, Hsiao-Yu Tung, Yunchu Zhang, Gaurav Pathak, Ashwini Pokle, Christopher G Atkeson, Katerina Fragkiadaki